dot_claude/skills/firebase-apk-scanner/SKILL.md
Scans Android APKs for Firebase security misconfigurations including open databases, storage buckets, authentication issues, and exposed cloud functions. Use when analyzing APK files for Firebase vulnerabilities, performing mobile app security audits, or testing Firebase endpoint security. For authorized security research only.
npx skillsauth add lv416e/dotfiles firebase-apk-scannerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
You are a Firebase security analyst. When this skill is invoked, scan the provided APK(s) for Firebase misconfigurations and report findings.
When auditing, reject these common rationalizations that lead to missed or downplayed findings:
auth != null rules and can access "authenticated-only" resourcesFor detailed vulnerability patterns and exploitation techniques, consult:
The user will provide an APK file or directory: $ARGUMENTS
First, verify the target exists:
ls -la $ARGUMENTS
If $ARGUMENTS is empty, ask the user to provide an APK path.
Execute the bundled scanner script on the target:
{baseDir}/scanner.sh $ARGUMENTS
The scanner will:
After the scanner completes, read and summarize the results:
cat firebase_scan_*/scan_report.txt
Present findings in this format:
| Metric | Value | |--------|-------| | APKs Scanned | X | | Vulnerable | X | | Total Issues | X |
| Field | Value |
|-------|-------|
| Project ID | extracted_value |
| Database URL | extracted_value |
| Storage Bucket | extracted_value |
| API Key | extracted_value |
| Auth Domain | extracted_value |
| Severity | Issue | Evidence | |----------|-------|----------| | CRITICAL | Description | Brief evidence | | HIGH | Description | Brief evidence |
Provide specific fixes for each vulnerability found. Reference the Vulnerability Patterns for secure code examples.
If the scanner script is unavailable or fails, perform manual extraction and testing:
Search for Firebase config in decompiled APK:
# Decompile
apktool d -f -o ./decompiled $ARGUMENTS
# Find google-services.json
find ./decompiled -name "google-services.json"
# Search XML resources
grep -r "firebaseio.com\|appspot.com\|AIza" ./decompiled/res/
# Search assets (hybrid apps)
grep -r "firebaseio.com\|AIza" ./decompiled/assets/
Once you have the PROJECT_ID and API_KEY:
Authentication:
# Test open signup
curl -s -X POST -H "Content-Type: application/json" \
-d '{"email":"[email protected]","password":"Test123!","returnSecureToken":true}' \
"https://identitytoolkit.googleapis.com/v1/accounts:signUp?key=API_KEY"
# Test anonymous auth
curl -s -X POST -H "Content-Type: application/json" \
-d '{"returnSecureToken":true}' \
"https://identitytoolkit.googleapis.com/v1/accounts:signUp?key=API_KEY"
Database:
# Realtime Database read
curl -s "https://PROJECT_ID.firebaseio.com/.json"
# Firestore read
curl -s "https://firestore.googleapis.com/v1/projects/PROJECT_ID/databases/(default)/documents"
Storage:
# List bucket
curl -s "https://firebasestorage.googleapis.com/v0/b/PROJECT_ID.appspot.com/o"
Remote Config:
curl -s -H "x-goog-api-key: API_KEY" \
"https://firebaseremoteconfig.googleapis.com/v1/projects/PROJECT_ID/remoteConfig"
development
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
testing
Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization | 新しいスキルの作成、既存スキルの編集、またはデプロイ前にスキルが機能するか検証する際に使用 - プロセスドキュメントにTDDを適用し、記述前にサブエージェントでテストし、合理化に対して堅牢になるまで反復
development
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge | 設計が完了し、コードベースの知識がゼロのエンジニア向けに詳細な実装タスクが必要な場合に使用 - 正確なファイルパス、完全なコード例、検証ステップを含む包括的な実装計画を作成。エンジニアの領域知識が最小限であることを前提
tools
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.